Browsing Tetherless World Publications by Author "McGuinness, Deborah L."

Now showing items 41-60 of 291

    • Foundations of Explainable Knowledge-Enabled Systems 

      Chari, Shruthi; Seneviratne, Oshani; Gruen, Daniel M.; McGuinness, Deborah L. (IOS Press, 2020-04)
      Explainability has been an important goal since the early days of Artificial Intelligence. Several approaches for producing explanations have been developed. However, many of these approaches were tightly coupled with the ...

    • Gastrointestinal Symptoms and Oral Antibiotic Use in Children with Autism Spectrum Disorder: Retrospective Analysis of a Privately Insured U.S. Population 

      Vargason, Troy; McGuinness, Deborah L.; Hahn, Juergen (Journal of Autism and Developmental Disorders, 2020-02-01)
      A retrospective analysis of administrative claims data from a large U.S. health insurer was performed to study a potential association between oral antibiotic use during early childhood and occurrence of later gastrointestinal ...

    • Towards a Face Recognition Model Analyzer 

      Johnson, Matt; Angel, John; McGuinness, Deborah L. (2020-01-01)
      Machine learning allows computers to learn a model for a given task, such as face recognition, with a high degree of accuracy, using data. However, after these models are generated, they are often treated as black boxes ...

    • Knowledge Extraction of Cohort Characteristics in Research Publications 

      Franklin, Jade; Chari, Shruthi; Foreman, Morgan A.; Seneviratne, Oshani; Gruen, Daniel M.; McCusker, Jamie; Das, Amar K.; McGuinness, Deborah L. (AMIA, 2020)
      When healthcare providers review the results of a clinical trial study to understand its applicability to their practice, they typically analyze how well the characteristics of the study cohort correspond to those of the ...

    • Semantic Graph Analysis to Combat Cryptocurrency Misinformation on the Web 

      Kazenoff, Daniel; Seneviratne, Oshani; McGuinness, Deborah L. (CEUR-WS, 2020)
      With the hype around blockchain technologies, misinformation on ‘get rich quick’ scams are becoming rampant. In this work, we describe a solution that puts in the groundwork to identify fraudulent users and track them ...

    • Aligning Diverse Data for a Personalized Health Knowledge Graph 

      Johnson, Matthew; Ravi, Meenu; Rashid, Sabbir; Pinheiro, Paulo; McGuinness, Deborah L. (The Knowledge Graph Conference, 2020)

    • A Survey on Personal Health Knowledge Graphs 

      Shirai, Sola S.; Seneviratne, Oshani; McGuinness, Deborah L. (Knowledge Graph Conference, 2020)

    • Directions for Explainable Knowledge-Enabled Systems 

      Chari, Shruthi; Gruen, Daniel M.; Seneviratne, Oshani; McGuinness, Deborah L. (IOS Press, 2020)
      Interest in the field of Explainable Artificial Intelligence has been growing for decades and has accelerated recently. As Artificial Intelligence models have become more complex, and often more opaque, with the incorporation ...

    • A Semantic Framework for Enabling Radio Spectrum Policy Management and Evaluation 

      Santos, Henrique; Mulvehill, Alice; Erickson, John S.; McCusker, Jamie; Gordon, Minor; Xie, Owen; Stouffer, Samuel; Capraro, Gerard; Pidwerbetsky, Alex; Burgess, John; Berlinsky, Allan; Turck, Kurt; Ashdown, Jonathan; McGuinness, Deborah L. (2020)
      Because radio spectrum is a finite resource, its usage and sharing is regulated by government agencies. These agencies define policies to manage spectrum allocation and assignment across multiple organizations, systems, ...

    • Making Study Populations Visible through Knowledge Graphs 

      Chari, Shruthi; Qim, Miao; Agu, Nkechinyere; Seneviratne, Oshani; McCusker, Jamie; Bennett, Kristin P.; Das, Amar; McGuinness, Deborah L. (2019-10-12)

    • The CHEAR Data Repository: Facilitating children’s environmental health and exposome research through data harmonization, pooling and accessibility. 

      Stingone, Jeanette; Pinheiro, Paulo; Meola, Jay; McCusker, Jamie; Bengoa, Sofia; Kovatch, Patricia; McGuinness, Deborah L.; Teitelbaum, Susan (Environmental Epidemiology, 2019-10-01)
      Funded by the U.S. National Institute of Environmental Health Sciences, the Children’s Health Exposure Analysis Resource (CHEAR) provides scientific investigators access to laboratory and statistical analyses aimed at ...

    • FoodKG: A Semantics-Driven Knowledge Graph for Food Recommendation 

      Haussmann, Steven; Seneviratne, Oshani; Chen, Yu; Ne'eman, Yarden; Codella, James; Chen, Ching Hua; McGuinness, Deborah L.; Zaki, Mohammed (2019-10-01)
      The proliferation of recipes and other food information on the Web presents an opportunity for discovering and organizing diet-related knowledge into a knowledge graph. Currently, there are several ontologies related to ...

    • FoodKG Enabled Questions and Answers Application 

      Haussmann, Steven; Chen, Yu; Seneviratne, Oshani; Rastogi, Nidhi; Codella, James; Chen, Ching Hua; McGuinness, Deborah L.; Zaki, Mohammed (2019-10-01)
      We demonstrate the usage of our FoodKG [3], a food knowledge graph designed to assist in food recommendation. This resource, which brings together recipes, nutrition, food taxonomies, and links into existing ontologies, ...

    • Ontology-enabled Analysis of Study Populations 

      Chari, Shruthi; Qim, Miao; Agu, Nkechinyere; Seneviratne, Oshani; McCusker, Jamie; Bennett, Kristin P.; Das, Amar; McGuinness, Deborah L. (2019-10-01)
      We address the problem of modeling study populations in research studies in a declarative manner. Research studies often have a great degree of variability in the reporting of population descriptions. To make study populations ...

    • Automating Population Health Studies through Semantics and Statistics Semantic Statistics (SemStats) 

      New, Alexander; Qi, Miao; Chari, Shruthi; Rashid, Sabbir; Seneviratne, Oshani; McCusker, Jamie; Erickson, John S.; McGuinness, Deborah L.; Bennett, Kristin P. (Springer, 2019-10)
      With the rapid development of the Semantic Web, machines are able to understand the contextual meaning of data, including in the field of automated semantics-driven statistical reasoning. This paper introduces a ...

    • G-PROV: Provenance Management for Clinical Practice Guidelines 

      Agu, Nkechinyere; Keshan, Neha; Chari, Shruthi; Seneveratne, Oshani; Rashid, Sabbir; Das, Amar K.; McCusker, Jamie; McGuinness, Deborah L. (CEUR-WS, 2019-10)
      Providing provenance of treatment suggestions made by clinical decision support systems can enhance transparency and trust in these systems by healthcare practitioners. Provenance can aid in resolving ambiguity and conflicts ...

    • The CHEAR Data Repository: Facilitating children’s environmental health and exposome research through data harmonization, pooling and accessibility 

      Stingone, Jeanette; Pinheiro, Paulo; Meola, Jay; McCusker, Jamie; Bengoa, Sofia; Kovatch, Patricia; McGuinness, Deborah L.; Teitelbaum, Susan (2019-08-28)
      Funded by the U.S. National Institute of Environmental Health Sciences, the Children’s Health Exposure Analysis Resource (CHEAR) provides scientific investigators access to laboratory and statistical analyses aimed at ...

    • Clustering of co‐occurring conditions in autism spectrum disorder during early childhood: A retrospective analysis of medical claims data. 

      Vargason, Troy; Frye, Richard; McGuinness, Deborah L.; Hahn, Juergen (Autism Research, 2019-05-31)
      Individuals with autism spectrum disorder (ASD) are frequently affected by co-occurring medical conditions (COCs), which vary in severity, age of onset, and pathophysiological characteristics. The presence of COCs contributes ...

    • Semantically-targeted analytics for reproducible scientific discovery 

      New, Alexander; Chari, Shruthi; Qim, Miao; Rashid, Sabbir; Erickson, John S.; McGuinness, Deborah L.; Bennett, Kristin P. (2019-05-13)
      We develop a semantics-driven, automated approach for dynamically performing rigorous scientific studies. This framework may be applied to a wide variety of data and study types; here, we demonstrate its suitability for ...

    • Identifying Windows of susceptibility by temporal Gene Analysis 

      Bennett, Kristin P.; Brown, Elisabeth; De Los Santos, Hannah; Poegel, Matt; Kiehl, Thomas; Patton, Evan; Norris, Spencer; Temple, Sally; Erickson, John S.; McGuinness, Deborah L.; Boles, Nathan (Scientific Reports, 2019-02-01)
      Increased understanding of developmental disorders of the brain has shown that genetic mutations, environmental toxins and biological insults typically act during developmental windows of susceptibility. Identifying these ...